PCA Index Dashboard Examples

PCA Index Dashboard Examples#

This script was last run at 2024-03-13 10:19:53.586432+00:00 (UTC)
In US/Central Time, this is 2024-03-13 05:19:53.586432-05:00
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np

# Generating a random time series data
dates = pd.date_range(start="2021-01-01", end="2021-12-31", freq='D')
data = np.random.randn(len(dates)).cumsum()

# Creating the plot
plt.figure(figsize=(10, 6))
plt.plot(dates, data, label='Random Time Series', color='blue')
plt.title('Random Time Series Plot')
plt.xlabel('Date')
plt.ylabel('Value')
plt.legend()
plt.grid(True)
plt.xticks(rotation=45)
plt.tight_layout()

# Display the plot
plt.show()
print('We are just generating a random time serie here.')
../../_images/d9f54e4eff0ac7b2bf1b6c47dfd053fef53f25162fc84fa1b54f8476c573716a.png
We are just generating a random time serie here.
import pandas as pd
pd.DataFrame({'1': [1, 2, 3, 4, 1, 2, 3, 4]}).plot(title='Shakepeare')
<Axes: title={'center': 'Shakepeare'}>
../../_images/92a49538e66116fefe18b9bfe24e3a4ef066c1141b70113e35f963f028b113b4.png
../../_images/8a4df5cdab7cdb8dfec654b82acefba913ecec41161933bcc8bb7a3a1b768a11.png
../../_images/7eb3912dc05d525f824806d5c298ce7d61a77acdeba81242b98b0cdd42ca9c6a.png